Multimodal distribution, Advanced Statistics


Multimodal distribution is the probability distribution or frequency distribution with number of modes.

Multimodality is frequently taken as an indication which the observed distribution results from the mixing of the distributions of relatively distinct groups of observations. An instance of the distribution with four modes as shown in the figure drawn as follows


1369_multimodal distribution.png

Posted Date: 7/30/2012 5:47:30 AM | Location : United States

Related Discussions:- Multimodal distribution, Assignment Help, Ask Question on Multimodal distribution, Get Answer, Expert's Help, Multimodal distribution Discussions

Write discussion on Multimodal distribution
Your posts are moderated
Related Questions
Cauchy integral : The integral of the function, f (x), from a to b are de?ned in terms of the sum   In the statistics this leads to the below shown inequality for the expecte

Jelinski  Moranda model is t he model of software reliability which supposes that failures occur according to the Poisson process with a rate decreasing as more faults are diagnos

A construction for events that happen in some planar area a, consisting of the series of 'territories' each of which comprises of that part of a closer to the particular event xi t

regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

An analyst counted 17 A/B runs and 26 time series observations. Do these results suggest that the data are nonrandom? Explain

Meta-analysis is the collection of techniques whereby the results of two or more independent studies are statistically combined to yield the overall answer to a question of intere

Hanging rootogram is   he diagram comparing the observed rootogram with the ?tted curve, in which dissimilarities between the two are displayed in relation to the horizontal axis,

Latent class analysis is a technique of assessing whether the set of observations including q categorical variables, in specific, binary variables, consists of the number of diffe

How is the rejection region defined and how is that related to the z-score and the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians

The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk.  The following are the total annual protein production values (lb) for 28 tw